Nn (NNBR) Inventory (2009 - 2026)
Nn's Inventory was $69.62 million in Q3 2026, up 9.7% from $63.49 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Nn (NNBR) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Nn came in at $65.98 million, up 6.6% from FY2024.
- Inventory shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Inventory was $61.88 million in FY2024 (-13.5%), $71.56 million in FY2023 (-11.3%), $80.68 million in FY2022 (+7.5%) and $75.03 million in FY2021 (+20.0%).
- The Q3 2026 figure marks the highest quarterly Inventory since Q1 2024.
- Compared with a year earlier, Inventory has increased for four straight quarters, with an average decline of 1.1% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q1 2022 (growth of 20.3%); the worst was Q3 2023 (a decline of 15.7%).
- Per Business Quant data, NNBR's Inventory in the three quarters before Q3 2026 was $69.36 million (Q2 2026), $68.18 million (Q1 2026) and $65.98 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 22.21 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 5.26 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 5.94 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.64 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 4.08 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.43 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.82 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 3.29 Bn |
| 10 | Nn | 250.71 Mn | 237.71 Mn | 18.27 Mn | 69.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.62 Mn |
| Jun 30, 2026 | 69.36 Mn |
| Mar 31, 2026 | 68.18 Mn |
| Dec 31, 2025 | 65.98 Mn |
| Sep 30, 2025 | 63.49 Mn |
| Jun 30, 2025 | 62.79 Mn |
| Mar 31, 2025 | 62.93 Mn |
| Dec 31, 2024 | 61.88 Mn |
| Sep 30, 2024 | 69.60 Mn |
| Jun 30, 2024 | 68.29 Mn |
| Mar 31, 2024 | 72.72 Mn |
| Dec 31, 2023 | 71.56 Mn |
| Sep 30, 2023 | 70.92 Mn |
| Jun 30, 2023 | 77.39 Mn |
| Mar 31, 2023 | 81.78 Mn |
| Dec 31, 2022 | 80.68 Mn |
| Sep 30, 2022 | 84.17 Mn |
| Jun 30, 2022 | 84.73 Mn |
| Mar 31, 2022 | 81.24 Mn |
| Dec 31, 2021 | 75.03 Mn |
API Access
Nn Inventory API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=inventory&ticker=NNBR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "NNBR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=NNBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();